A Redundancy-Based Approach to Obstacle Avoidance Applied to Mobile Robot Navigation

Andrea Cherubini 1, 2 François Chaumette 1
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : In this paper, we propose a framework for visual navigation with simultaneous obstacle avoidance. The obstacles are modeled by using a vortex potential field, derived from an occupancy grid. Kinematic redundancy guarantees that obstacle avoidance and navigation are achieved concurrently, and the whole scheme is merely sensor-based. The problem is solved both in an obstacle-free and in a dangerous context, and the control law is smoothened in the intermediate situations. In a series of simulations, we show that with our framework, a robot can replay a taught visual path while avoiding collisions, even in the presence of visual occlusions.
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Communication dans un congrès
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'10, 2010, Taipei, Taiwan, Taiwan. pp.5700-5705, 2010
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Andrea Cherubini, François Chaumette. A Redundancy-Based Approach to Obstacle Avoidance Applied to Mobile Robot Navigation. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'10, 2010, Taipei, Taiwan, Taiwan. pp.5700-5705, 2010. 〈inria-00544784〉

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